← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

ERNIE 4.5 VL 424B A47B vs UI-TARS 7B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for ERNIE 4.5 VL 424B A47B and UI-TARS 7B.

Baidu

ERNIE 4.5 VL 424B A47B

ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...

View Full Specs
ByteDance

UI-TARS 7B

UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework with reinforcement...

View Full Specs

Technical Specifications

SpecificationERNIE 4.5 VL 424B A47BUI-TARS 7B
ProviderBaiduByteDance
Context Window131,072 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-06-302025-07-22

API Pricing Comparison

Input Price per Million Tokens

ERNIE 4.5 VL 424B A47B

$0.42

UI-TARS 7B

$0.10

Output Price per Million Tokens

ERNIE 4.5 VL 424B A47B

$1.25

UI-TARS 7B

$0.20

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8680.0%vs7350.0%
ERNIE 4.5 VL 424B A47B
UI-TARS 7B
HumanEvalPython coding & logic synthesis
8200.0%vs8020.0%
ERNIE 4.5 VL 424B A47B
UI-TARS 7B
MATHComplex mathematical problem solving
6520.0%vs4050.0%
ERNIE 4.5 VL 424B A47B
UI-TARS 7B
GPQAGraduate-level expert reasoning
4500.0%vs3000.0%
ERNIE 4.5 VL 424B A47B
UI-TARS 7B
HellaSwagCommonsense reasoning and inference
8650.0%vs7800.0%
ERNIE 4.5 VL 424B A47B
UI-TARS 7B
MT-BenchMulti-turn conversation flow quality
895.0%vs805.0%
ERNIE 4.5 VL 424B A47B
UI-TARS 7B

ERNIE 4.5 VL 424B A47B Quirks & Gotchas

No developer gotchas reported.

UI-TARS 7B Quirks & Gotchas

No developer gotchas reported.